Table of Contents for
Regular Expressions Cookbook, 2nd Edition

Version ebook / Retour

Cover image for bash Cookbook, 2nd Edition Regular Expressions Cookbook, 2nd Edition by Steven Levithan Published by O'Reilly Media, Inc., 2012
  1. Cover
  2. Regular Expressions Cookbook
  3. Preface
  4. Caught in the Snarls of Different Versions
  5. Intended Audience
  6. Technology Covered
  7. Organization of This Book
  8. Conventions Used in This Book
  9. Using Code Examples
  10. Safari® Books Online
  11. How to Contact Us
  12. Acknowledgments
  13. 1. Introduction to Regular Expressions
  14. Regular Expressions Defined
  15. Search and Replace with Regular Expressions
  16. Tools for Working with Regular Expressions
  17. 2. Basic Regular Expression Skills
  18. 2.1. Match Literal Text
  19. 2.2. Match Nonprintable Characters
  20. 2.3. Match One of Many Characters
  21. 2.4. Match Any Character
  22. 2.5. Match Something at the Start and/or the End of a Line
  23. 2.6. Match Whole Words
  24. 2.7. Unicode Code Points, Categories, Blocks, and Scripts
  25. 2.8. Match One of Several Alternatives
  26. 2.9. Group and Capture Parts of the Match
  27. 2.10. Match Previously Matched Text Again
  28. 2.11. Capture and Name Parts of the Match
  29. 2.12. Repeat Part of the Regex a Certain Number of Times
  30. 2.13. Choose Minimal or Maximal Repetition
  31. 2.14. Eliminate Needless Backtracking
  32. 2.15. Prevent Runaway Repetition
  33. 2.16. Test for a Match Without Adding It to the Overall Match
  34. 2.17. Match One of Two Alternatives Based on a Condition
  35. 2.18. Add Comments to a Regular Expression
  36. 2.19. Insert Literal Text into the Replacement Text
  37. 2.20. Insert the Regex Match into the Replacement Text
  38. 2.21. Insert Part of the Regex Match into the Replacement Text
  39. 2.22. Insert Match Context into the Replacement Text
  40. 3. Programming with Regular Expressions
  41. Programming Languages and Regex Flavors
  42. 3.1. Literal Regular Expressions in Source Code
  43. 3.2. Import the Regular Expression Library
  44. 3.3. Create Regular Expression Objects
  45. 3.4. Set Regular Expression Options
  46. 3.5. Test If a Match Can Be Found Within a Subject String
  47. 3.6. Test Whether a Regex Matches the Subject String Entirely
  48. 3.7. Retrieve the Matched Text
  49. 3.8. Determine the Position and Length of the Match
  50. 3.9. Retrieve Part of the Matched Text
  51. 3.10. Retrieve a List of All Matches
  52. 3.11. Iterate over All Matches
  53. 3.12. Validate Matches in Procedural Code
  54. 3.13. Find a Match Within Another Match
  55. 3.14. Replace All Matches
  56. 3.15. Replace Matches Reusing Parts of the Match
  57. 3.16. Replace Matches with Replacements Generated in Code
  58. 3.17. Replace All Matches Within the Matches of Another Regex
  59. 3.18. Replace All Matches Between the Matches of Another Regex
  60. 3.19. Split a String
  61. 3.20. Split a String, Keeping the Regex Matches
  62. 3.21. Search Line by Line
  63. Construct a Parser
  64. 4. Validation and Formatting
  65. 4.1. Validate Email Addresses
  66. 4.2. Validate and Format North American Phone Numbers
  67. 4.3. Validate International Phone Numbers
  68. 4.4. Validate Traditional Date Formats
  69. 4.5. Validate Traditional Date Formats, Excluding Invalid Dates
  70. 4.6. Validate Traditional Time Formats
  71. 4.7. Validate ISO 8601 Dates and Times
  72. 4.8. Limit Input to Alphanumeric Characters
  73. 4.9. Limit the Length of Text
  74. 4.10. Limit the Number of Lines in Text
  75. 4.11. Validate Affirmative Responses
  76. 4.12. Validate Social Security Numbers
  77. 4.13. Validate ISBNs
  78. 4.14. Validate ZIP Codes
  79. 4.15. Validate Canadian Postal Codes
  80. 4.16. Validate U.K. Postcodes
  81. 4.17. Find Addresses with Post Office Boxes
  82. 4.18. Reformat Names From “FirstName LastName” to “LastName, FirstName”
  83. 4.19. Validate Password Complexity
  84. 4.20. Validate Credit Card Numbers
  85. 4.21. European VAT Numbers
  86. 5. Words, Lines, and Special Characters
  87. 5.1. Find a Specific Word
  88. 5.2. Find Any of Multiple Words
  89. 5.3. Find Similar Words
  90. 5.4. Find All Except a Specific Word
  91. 5.5. Find Any Word Not Followed by a Specific Word
  92. 5.6. Find Any Word Not Preceded by a Specific Word
  93. 5.7. Find Words Near Each Other
  94. 5.8. Find Repeated Words
  95. 5.9. Remove Duplicate Lines
  96. 5.10. Match Complete Lines That Contain a Word
  97. 5.11. Match Complete Lines That Do Not Contain a Word
  98. 5.12. Trim Leading and Trailing Whitespace
  99. 5.13. Replace Repeated Whitespace with a Single Space
  100. 5.14. Escape Regular Expression Metacharacters
  101. 6. Numbers
  102. 6.1. Integer Numbers
  103. 6.2. Hexadecimal Numbers
  104. 6.3. Binary Numbers
  105. 6.4. Octal Numbers
  106. 6.5. Decimal Numbers
  107. 6.6. Strip Leading Zeros
  108. 6.7. Numbers Within a Certain Range
  109. 6.8. Hexadecimal Numbers Within a Certain Range
  110. 6.9. Integer Numbers with Separators
  111. 6.10. Floating-Point Numbers
  112. 6.11. Numbers with Thousand Separators
  113. 6.12. Add Thousand Separators to Numbers
  114. 6.13. Roman Numerals
  115. 7. Source Code and Log Files
  116. Keywords
  117. Identifiers
  118. Numeric Constants
  119. Operators
  120. Single-Line Comments
  121. Multiline Comments
  122. All Comments
  123. Strings
  124. Strings with Escapes
  125. Regex Literals
  126. Here Documents
  127. Common Log Format
  128. Combined Log Format
  129. Broken Links Reported in Web Logs
  130. 8. URLs, Paths, and Internet Addresses
  131. 8.1. Validating URLs
  132. 8.2. Finding URLs Within Full Text
  133. 8.3. Finding Quoted URLs in Full Text
  134. 8.4. Finding URLs with Parentheses in Full Text
  135. 8.5. Turn URLs into Links
  136. 8.6. Validating URNs
  137. 8.7. Validating Generic URLs
  138. 8.8. Extracting the Scheme from a URL
  139. 8.9. Extracting the User from a URL
  140. 8.10. Extracting the Host from a URL
  141. 8.11. Extracting the Port from a URL
  142. 8.12. Extracting the Path from a URL
  143. 8.13. Extracting the Query from a URL
  144. 8.14. Extracting the Fragment from a URL
  145. 8.15. Validating Domain Names
  146. 8.16. Matching IPv4 Addresses
  147. 8.17. Matching IPv6 Addresses
  148. 8.18. Validate Windows Paths
  149. 8.19. Split Windows Paths into Their Parts
  150. 8.20. Extract the Drive Letter from a Windows Path
  151. 8.21. Extract the Server and Share from a UNC Path
  152. 8.22. Extract the Folder from a Windows Path
  153. 8.23. Extract the Filename from a Windows Path
  154. 8.24. Extract the File Extension from a Windows Path
  155. 8.25. Strip Invalid Characters from Filenames
  156. 9. Markup and Data Formats
  157. Processing Markup and Data Formats with Regular Expressions
  158. 9.1. Find XML-Style Tags
  159. 9.2. Replace Tags with
  160. 9.3. Remove All XML-Style Tags Except and
  161. 9.4. Match XML Names
  162. 9.5. Convert Plain Text to HTML by Adding

    and
    Tags

  163. 9.6. Decode XML Entities
  164. 9.7. Find a Specific Attribute in XML-Style Tags
  165. 9.8. Add a cellspacing Attribute to Tags That Do Not Already Include It
  166. 9.9. Remove XML-Style Comments
  167. 9.10. Find Words Within XML-Style Comments
  168. 9.11. Change the Delimiter Used in CSV Files
  169. 9.12. Extract CSV Fields from a Specific Column
  170. 9.13. Match INI Section Headers
  171. 9.14. Match INI Section Blocks
  172. 9.15. Match INI Name-Value Pairs
  173. Index
  174. Index
  175. Index
  176. Index
  177. Index
  178. Index
  179. Index
  180. Index
  181. Index
  182. Index
  183. Index
  184. Index
  185. Index
  186. Index
  187. Index
  188. Index
  189. Index
  190. Index
  191. Index
  192. Index
  193. Index
  194. Index
  195. Index
  196. Index
  197. Index
  198. Index
  199. About the Authors
  200. Colophon
  201. Copyright
  202. 3.12. Validate Matches in Procedural Code

    Problem

    Recipe 3.10 shows how you can retrieve a list of all matches a regular expression can find in a string when it is applied repeatedly to the remainder of the string after each match. Now you want to get a list of matches that meet certain extra criteria that you cannot (easily) express in a regular expression. For example, when retrieving a list of lucky numbers, you only want to retain those that are an integer multiple of 13.

    Solution

    C#

    You can use the static call when you process only a small number of strings with the same regular expression:

    StringCollection resultList = new StringCollection();
    Match matchResult = Regex.Match(subjectString, @"\d+");
    while (matchResult.Success) {
        if (int.Parse(matchResult.Value) % 13 == 0) {
            resultList.Add(matchResult.Value);
        }
        matchResult = matchResult.NextMatch();
    }

    Construct a Regex object if you want to use the same regular expression with a large number of strings:

    StringCollection resultList = new StringCollection();
    Regex regexObj = new Regex(@"\d+");
    matchResult = regexObj.Match(subjectString);
    while (matchResult.Success) {
        if (int.Parse(matchResult.Value) % 13 == 0) {
            resultList.Add(matchResult.Value);
        }
        matchResult = matchResult.NextMatch();
    }

    VB.NET

    You can use the static call when you process only a small number of strings with the same regular expression:

    Dim ResultList = New StringCollection
    Dim MatchResult = Regex.Match(SubjectString, "\d+")
    While MatchResult.Success
        If Integer.Parse(MatchResult.Value) Mod 13 = 0 Then
            ResultList.Add(MatchResult.Value)
        End If
        MatchResult = MatchResult.NextMatch
    End While

    Construct a Regex object if you want to use the same regular expression with a large number of strings:

    Dim ResultList = New StringCollection
    Dim RegexObj As New Regex("\d+")
    Dim MatchResult = RegexObj.Match(SubjectString)
    While MatchResult.Success
        If Integer.Parse(MatchResult.Value) Mod 13 = 0 Then
            ResultList.Add(MatchResult.Value)
        End If
        MatchResult = MatchResult.NextMatch
    End While

    Java

    List<String> resultList = new ArrayList<String>();
    Pattern regex = Pattern.compile("\\d+");
    Matcher regexMatcher = regex.matcher(subjectString);
    while (regexMatcher.find()) {
        if (Integer.parseInt(regexMatcher.group()) % 13 == 0) {
            resultList.add(regexMatcher.group());
        }
    }

    JavaScript

    var list = [];
    var regex = /\d+/g;
    var match = null;
    while (match = regex.exec(subject)) {
        // Don't let browsers get stuck in an infinite loop
        if (match.index == regex.lastIndex) regex.lastIndex++;
        // Here you can process the match stored in the match variable
        if (match[0] % 13 == 0) {
            list.push(match[0]);
        }
    }

    XRegExp

    var list = [];
    XRegExp.forEach(subject, /\d+/, function(match) {
       if (match[0] % 13 == 0) {
           list.push(match[0]);
       }
    });

    PHP

    preg_match_all('/\d+/', $subject, $matchdata, PREG_PATTERN_ORDER);
    for ($i = 0; $i < count($matchdata[0]); $i++) {
        if ($matchdata[0][$i] % 13 == 0) {
          $list[] = $matchdata[0][$i];
        }
    }

    Perl

    while ($subject =~ m/\d+/g) {
        if ($& % 13 == 0) {
            push(@list, $&);
        }
    }

    Python

    If you process only a small number of strings with the same regular expression, you can use the global function:

    list = []
    for matchobj in re.finditer(r"\d+", subject):
        if int(matchobj.group()) % 13 == 0:
           list.append(matchobj.group())

    To use the same regex repeatedly, use a compiled object:

    list = []
    reobj = re.compile(r"\d+")
    for matchobj in reobj.finditer(subject):
        if int(matchobj.group()) % 13 == 0:
           list.append(matchobj.group())

    Ruby

    list = []
    subject.scan(/\d+/) {|match|
        list << match if (Integer(match) % 13 == 0)
    }

    Discussion

    Regular expressions deal with text. Though the regular expression \d+ matches what we call a number, to the regular expression engine it’s just a string of one or more digits.

    If you want to find specific numbers, such as those divisible by 13, it is much easier to write a general regex that matches all numbers, and then use a bit of procedural code to skip the regex matches you’re not interested in.

    The solutions for this recipe all are based on the solutions for the previous recipe, which shows how to iterate over all matches. Inside the loop, we convert the regular expression match into a number.

    Some languages do this automatically; other languages require an explicit function call to convert the string into an integer. We then check whether the integer is divisible by 13. If it is, the regex match is added to the list. If it is not, the regex match is skipped.

    See Also

    Recipe 3.12 was used as a basis for this recipe. It explains how iterating over regex matches works.

    Recipe 3.7 shows code to get only the first regex match.

    Recipe 3.8 shows code to determine the position and length of the match.

    Recipe 3.10 shows code to get a list of all the matches a regex can find in a string.